Optimizing natural ventilation strategy in existing buildings using differential evolution: Case of architectural studio classrooms

dc.contributor.author Damla Elbi
dc.contributor.author Huma Fulya Ekim
dc.contributor.author Onur Dursun
dc.date.accessioned 2025-10-06T17:52:03Z
dc.date.issued 2016
dc.description.abstract Natural ventilation plays a vital role towards provision of healthy indoor environment condition for occupants in a building. Yet particularly in winter providing sufficient level of fresh air to indoor environment causes a significant increase in heating energy consumption. To this end the current study aims to propose an optimum natural ventilation strategy while minimizing heating energy consumption and ventilation time which are constrained by minimum allowable fresh air intake. To demonstrate we considered an actual case for the problem at hand which is an architectural studio classroom located in Yasar University Turkey. Next the problem was mathematically formulated using basic physical rules. Comparing results between energy simulation of the considered case and formulated problem accuracy of mathematical expressions was verified. Following we made use of differential evolution (DE) to find the non-dominated set of natural ventilation strategy. The results suggests that DE is able to converge a set of optimum ventilation strategies after adequate number of generations. © 2017 Elsevier B.V. All rights reserved.
dc.description.sponsorship IEEE Computational Intelligence Society (CIS)
dc.identifier.doi 10.1109/CEC.2016.7744283
dc.identifier.isbn 9781509006229
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008262530&doi=10.1109%2FCEC.2016.7744283&partnerID=40&md5=6276cd2f0b0bbb4bba4becf8bbd8cf1f
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9749
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 2016 IEEE Congress on Evolutionary Computation CEC 2016
dc.subject Architectural Studios, Differential Evolution, Energy, Existing Buildings, Natural Ventilation, Simulation, Air Intakes, Architecture, Energy Utilization, Evolutionary Algorithms, Neonatal Monitoring, Optimization, Studios, Differential Evolution, Energy, Healthy Indoor Environments, Heating Energy Consumption, Mathematical Expressions, Natural Ventilation, Simulation, Ventilation Strategy, Ventilation
dc.subject Air intakes, Architecture, Energy utilization, Evolutionary algorithms, Neonatal monitoring, Optimization, Studios, Differential Evolution, Energy, Healthy indoor environments, Heating energy consumption, Mathematical expressions, Natural ventilation, Simulation, Ventilation strategy, Ventilation
dc.title Optimizing natural ventilation strategy in existing buildings using differential evolution: Case of architectural studio classrooms
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person.identifier.scopus-author-id Elbi- Damla (57192821572), Ekim- Huma Fulya (57192820423), Dursun- Onur (36894455100)
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